The overview of the concept of agriculture 4.0 and its possible ways of innovation

Authors

  • Máté Ferenc Dajka Magyar Agrár- és Élettudományi Egyetem, Gazdaság- és Regionális Tudományok Doktori Iskola
  • Izabella Oláh Magyar Agrár- és Élettudományi Egyetem Gazdaság- és Regionális Tudományok Doktori Iskola

DOI:

https://doi.org/10.18531/sme.vol.10.no.3.pp.33-45

Keywords:

digital farming, Agriculture 4.0, data-driven decision making, precision farming

Abstract

Agriculture 4.0 is a term borrowed from the history of industrial development, which refers to the fact that in the earlier stages of the history, every time a few significant technological innovations were at the center of the process, which determined the long-term development of the sector. In the case of today's agriculture, this technological development is represented by digitization and the appearance of data-based decision-making management. Some stages of agricultural development are based on each other, without the spread of the former, we cannot talk about the appearance of the subsequent one either: without computer systems and precision farming, the appearance of data-based farming is also impossible. The data used in everyday farming can be divided into different groups but storing them in an integrated system and processing them with suitable methods makes farming easier and gives the farmer an advantage in market. Comparing data-based management with the spread of previous innovations, a conclusion can be drawn: we are in the early stages of a new technological development cycle. At the stage 4.0, the main function of these systems is supporting decision making, but it is expected that they will play a greater role in decision-making at the next level.

Author Biographies

  • Máté Ferenc Dajka, Magyar Agrár- és Élettudományi Egyetem, Gazdaság- és Regionális Tudományok Doktori Iskola

    student
    E-mail: dajka.mate@gmail.com

  • Izabella Oláh, Magyar Agrár- és Élettudományi Egyetem Gazdaság- és Regionális Tudományok Doktori Iskola

    associate professor
    E-mail: olah.izabella@uni-mate.hu

References

Adrian, A.M. – Norwood, S. H. – Mask, P. L. (2005): Producers’ perceptions and attitudes toward precision agriculture technologies. Computers and Electronics in Agriculture, 48, 256–271. https://doi.org/10.1016/j.compag.2005.04.004

Ammann, J. – Walter, A. – El Benni, N. (2022): Adoption and perception of farm management information systems by future Swiss farm managers – An online study. Journal of Rural Studies, 89, 298-305. https://doi.org/10.1016/j.jrurstud.2021.12.008

Bannerjee, G. – Sarkar, U. – Das, S. – Ghosh, I. (2018): Artificial Intelligence in Agriculture: A Literature Survey. International Journal of Scientific Research in Computer Science Applications and Management Studies, 7(3), 1-6. https://www.researchgate.net/profile/Gouravmoy-Banerjee/publication/326057794_Artificial_Intelligence_in_Agriculture_A_Literature_Survey/links/ 5b35ab970f7e9b0df5d83ec6/Artificial-Intelligence-in-Agriculture-A-Literature-Survey.pdf A letöltés ideje: 2023.10.16

Boursianis, A. D. – Papadopoulou, M. S. – Diamantoulakis P. – Liopa-Tsakalidi, A. – Barouchas, P. – Salahas, G. – Karagiannidis, G. – Wan, S. – Goudos, S. K. (2020): Internet of Things (IoT and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: a comprehensive review. Internet of Things. 12. https://doi.org/10.1016/j.iot.2020.100187

De Clercq, M. – Vats, A. – Biel, A. (2018): Agriculture 4.0: The future of farming technology. Proceedings of the world government summit, Dubai, UAE, 11-13. https://www.bollettinoadapt.it/wp-content/uploads/2019/12/OliverWyman-Report_English-LOW.pdf

Digitális Jólét Program (2019): Magyarország Digitális Agrár Stratégiája 2019-2022. https://digitalisjoletprogram.hu/files/24/2e/242e263bd2b441f6f30cf400e06e1e4a.pdf A letöltés ideje: 2022.03.12

Erős, A. (2019): Mi is a digitalizáció? Nemzeti Agrárgazdasági Kamara, Fiatal gazdálkodó, Megjelent: 2019.07.02 https://www.nak.hu/tajekoztatasi-szolgaltatas/fiatal-gazdalkodo/99798-mi-is-az-a-digitalizacio A letöltés ideje: 2022.03.12

Fodor, M. (2021): Mérföldkő a precíziós gazdálkodásban. Agrárágazat Vol. 22/10., 68-70. p.

Grieve, B. D. - Duckett, T. - Collison, M. - Boyd, L. - West, J. - Yin, H. - Arvin, F. - Pearson, S. (2019): The challenges posed by global broadacre crops in delivering smart agrirobotic solutions: A fundamental rethink is required. Global Food Security, 23, 116–124. https://doi.org/10.1016/j.gfs.2019.04.011

Hinson, R. – Lensink, R. – Mueller, A. (2019): Transforming agribusiness in developing countries: SDGs and the role of FinTech. Current Opinion in Environmental Sustainability. 41, 1–9. https://doi.org/10.1016/j.cosust.2019.07.002

Javaid, M. – Haleem, A. – Khan, I. H. – Suman, R. (2023): Understanding the potential applications of Artificial Intelligence in Agriculture Sector. Advanced Agrochem. 2(1), 15-30. https://doi.org/10.1016/j.aac.2022.10.001

Jha, K. – Doshi, A. – Patel, P. – Shah, M. (2019): A comprehensive review on automation in agriculture using artificial intelligence. Artificial Intelligence in Agriculture. 2, 1-12. https://doi.org/10.1016/j.aiia.2019.05.004

Klerkx, L. – Jakku, E. – Labarthe, P. (2019): A review of social science on digital agriculture, smart farming and agriculture 4.0: new contributions and a future research agenda. NJAS: Wageningen Journal of Life Sciences, 90-91:1, 1-16. 90. https://doi.org/10.1016/j.njas.2019.100315

Klerkx, L. – Rose. D. (2020): Dealing with the game-changing technologies of Agriculture 4.0: How do we manage diversity and responsibility in food system transition pathways? Global Food Security. 24. https://doi.org/10.1016/j.gfs.2019.100347

Kong, Q. – Kuriyan, K. – Shah, N. – Guo, M. (2019): Development of a responsive optimisation framework for decision-making in precision agriculture. Computers & Chemical Engineering, 131. https://doi.org/10.1016/j.compchemeng.2019.106585

Oláh, I. (2019): Nemzeti Agrárgazdasági Kamara Digitális Agrár Akadémia programja https://www.nak.hu/kiadvanyok/digitalis-agrarakademia-2019/3-digitalis-farm-menedzsment A letöltés ideje: 2022.03.12

Oláh, I. (2022): Digital solution in agriculture. Elhangzott: International Conference On Technology Changes Future Sustainable Development Goals, 2022 Sakarya session 2022.01.06

Pfeiffer, J. – Gabriel, A. – Gandorfer, M. (2021): Understanding the public attitudinal acceptance of digital farming technologies: a nationwide survey in Germany. Agriculture and Human Values. 107–128. https://doi.org/10.1007/s10460-020-10145-2

Porter, M.E. – Heppelmann, J.E. (2014): Wie smarte Produkte den Wettbewerb verändern. Harvard Business manager. 12, 1-28. https://docplayer.org/12324512-Wie-smarte-produkte-den-wettbewerb-veraendern.html A letöltés ideje: 2022.03.17

Rose, D. C. - Wheeler, R. - Winter, M. - Lobley, M. - Chivers, C. (2021): Agriculture 4.0: Making it work for people, production, and the planet. Land Use Policy, 100. https://doi.org/10.1016/j.landusepol.2020.104933

Rózsa, T. (2008): Kis- és Középvállalkozások számítógépes információs rendszereinek funkcionális, hatékonysági és gazdasági elemzése, doktori értekezés, Debrecen. http://hdl.handle.net/2437/57522 A letöltés ideje: 2023.10.10

da Silveira, F. – Lermen, F. H. – Amaral, F. G. (2021): An overview of agriculture 4.0 development: Systematic review of descriptions, technologies, barriers, advantages, and disadvantages. Computers and Electronics in Agriculture. 189. https://doi.org/10.1016/j.compag.2021.106405

Saiz-Rubio, V. – Rovira-Más, F. (2020): From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management. Agronomy, 10(207) https://doi.org/10.3390/agronomy10020207

Smith, M. (2018): Getting value from artificial intelligence in agriculture. Animal Production Science. 60, 46–54. https://doi.org/10.1071/AN18522

Szőke, V. – Kovács, L. (2020): Mezőgazdaság 4.0 – relevancia, lehetőségek, kihívások. Gazdálkodás. 64(4), 289-304. https://www.researchgate.net/publication/344284006_Mezogazdasag_40_-_relevancia_lehetosegek_kihivasok A letöltés ideje: 2023.10.10

Varga, V. (2021): Mezőgazdaság 4.0 és a digitalizálás alkalmazása. Agrárágazat, 22(10), 72-74. p.

Zambon, I. - Cecchini, M. - Egidi, G. - Saporito, M. G. - Colantoni, A. (2019): Revolution 4.0: Industry vs. Agriculture in a Future Development for SMEs. Processes, 7, 1-36. https://doi.org/10.3390/pr7010036

Published

2023-09-27

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